@inproceedings{c418dad6e44843d8a6f4257d29268359,
title = "Yakin Ger ek Zamanli Iyonk re ETEI Haritalama Y ntemi: IONOLAB-SMAP",
abstract = "The ionosphere causes positioning errors in Global Navigation Satellite System (GNSS) receivers, making the prediction of these errors crucial for high-precision applications. Therefore, modeling ionospheric behavior is essential. In the literature, ionospheric variations are typically evaluated using Total Electron Content (TEC), with Global Ionosphere Maps (GIMs) being a common approach. However, the low spatial and temporal resolution of these maps makes them insufficient for real-time monitoring. In this study, the IONOLAB-STEC method was used to estimate Slant TEC values from dual-frequency GNSS receiver RINEX measurements, and an original stepwise Kriging method was applied for mapping. The developed IONOLAB-SMAP method enables near real-time interpolation, producing high-precision maps with a temporal resolution of 5 minutes and a spatial resolution of 0.48. The results demonstrate that the proposed method offers higher resolution compared to traditional TEC mapping techniques.",
keywords = "Ionosphere, Kriging, Mapping, STEC",
author = "Meltem Koroglu and Ozan Koroglu and Feza Arikan and Orhan Arikan",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 ; Conference date: 25-06-2025 Through 28-06-2025",
year = "2025",
doi = "10.1109/SIU66497.2025.11111819",
language = "T{\"u}rk{\c c}e",
series = "33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings",
address = "!!United States",
}